Math 302: Applications and Numerical Solution of Ordinary Differential Equations

http://www4.ncsu.edu/eos/users/w/white/www/white/ma302/ma302hp08.htm

NCSU Statement on Disability and Honesty

Instructor: ??, Fall 2008

This course uses Matlab, Matlab's ODE suite, and is taught at a level suitable for students who have passed two semesters of calculus. There are five parts, and each has three lectures. The first lecture introduces a new topic, and the following two lectures will stress applications and variation of the model's parameters.  Additional course materials can be found in the texts by Danby, or Nagle, Saff and Snider.

Grading and Exam Dates
Matlab m-Files

Part I: First Order ODE and Euler Methods

1. Matlab (plot, function, loop, m-files), y(t) = 70 +130e-kt
2. Falling mass, Euler and improved Euler methods

3. Cooling with variable ambient temperature, variable time steps

Part II: Logistic ODE and Higher Order Methods

4. Population, Taylor and Runge-Kutta methods

5. Population with harvesting, ODE45
6. Spread of information, ODE45

Part III: Higher Order Systems

7. Predator-prey(s), ODE45
8. SIR Epidemic model, ODE45

9. Diffusion of Heat (discrete rod), ODE45

Part IV: Vibration and Resonance

10. Mass-spring and resonance, ODE45
11. Vibrating string  (discrete string), ODE45
12. LRC circuit and tuning, ODE45

Part V: Stiff Systems

13. Rapid cooling, Euler-trapezoid, ODE23s
14. Van der Pol circuits, ODE23s
15.  Oregonator chemical reactions, ODE15s